André Longtin

14.8k total citations · 1 hit paper
210 papers, 10.8k citations indexed

About

André Longtin is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, André Longtin has authored 210 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Cognitive Neuroscience, 118 papers in Statistical and Nonlinear Physics and 63 papers in Computer Networks and Communications. Recurrent topics in André Longtin's work include Neural dynamics and brain function (149 papers), stochastic dynamics and bifurcation (108 papers) and Nonlinear Dynamics and Pattern Formation (61 papers). André Longtin is often cited by papers focused on Neural dynamics and brain function (149 papers), stochastic dynamics and bifurcation (108 papers) and Nonlinear Dynamics and Pattern Formation (61 papers). André Longtin collaborates with scholars based in Canada, United States and Germany. André Longtin's co-authors include Stephen Eubank, B. Galdrikian, J. Doyne Farmer, James Theiler, Leonard Maler, Maurice J. Chacron, John Milton, Benjamin Lindner, Brent Doiron and Adi R. Bulsara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

André Longtin

206 papers receiving 10.5k citations

Hit Papers

Testing for nonlinearity in time series: the method of su... 1992 2026 2003 2014 1992 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
André Longtin Canada 51 5.8k 5.0k 2.6k 1.7k 1.2k 210 10.8k
Bard Ermentrout United States 60 10.0k 1.7× 6.3k 1.3× 6.2k 2.4× 5.1k 3.0× 147 0.1× 219 17.2k
Thomas Schreiber Germany 34 2.7k 0.5× 3.4k 0.7× 1.4k 0.5× 377 0.2× 2.9k 2.4× 81 10.6k
Jack D. Cowan United States 31 4.3k 0.7× 2.0k 0.4× 1.4k 0.6× 1.4k 0.8× 135 0.1× 81 6.5k
Frank Moss United States 50 4.7k 0.8× 8.8k 1.8× 4.6k 1.8× 710 0.4× 188 0.2× 185 11.3k
Norbert Marwan Germany 55 2.2k 0.4× 3.9k 0.8× 2.1k 0.8× 138 0.1× 3.6k 3.0× 273 14.8k
Dante R. Chialvo United States 48 7.3k 1.3× 2.6k 0.5× 1.4k 0.6× 1.6k 0.9× 489 0.4× 129 11.9k
Plamen Ch. Ivanov United States 56 7.5k 1.3× 3.5k 0.7× 1.2k 0.5× 613 0.4× 7.1k 5.9× 137 23.1k
Alain Destexhe France 63 12.7k 2.2× 3.3k 0.7× 1.1k 0.4× 8.5k 4.9× 337 0.3× 242 15.0k
Mark D. McDonnell Australia 24 1.6k 0.3× 2.2k 0.4× 869 0.3× 357 0.2× 121 0.1× 113 4.3k
Henry D. I. Abarbanel United States 55 4.7k 0.8× 7.8k 1.6× 4.6k 1.8× 2.1k 1.2× 2.7k 2.3× 224 18.0k

Countries citing papers authored by André Longtin

Since Specialization
Citations

This map shows the geographic impact of André Longtin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by André Longtin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Longtin more than expected).

Fields of papers citing papers by André Longtin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Longtin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by André Longtin. The network helps show where André Longtin may publish in the future.

Co-authorship network of co-authors of André Longtin

This figure shows the co-authorship network connecting the top 25 collaborators of André Longtin. A scholar is included among the top collaborators of André Longtin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with André Longtin. André Longtin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Longtin, André, et al.. (2025). Signal demixing using multi-delay multi-layer reservoir computing. 2(2). e0000034–e0000034.
2.
Naud, Richard & André Longtin. (2023). Connecting levels of analysis in the computational era. The Journal of Physiology. 602(3). 417–420. 1 indexed citations
3.
Béïque, Jean‐Claude, et al.. (2023). Adaptive spike threshold dynamics associated with sparse spiking of hilar mossy cells are captured by a simple model. The Journal of Physiology. 601(19). 4397–4422. 2 indexed citations
4.
Naud, Richard & André Longtin. (2019). Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. SHILAP Revista de lepidopterología. 9(1). 3–3. 11 indexed citations
5.
Yu, Na, et al.. (2019). Electrosensory Contrast Signals for Interacting Weakly Electric Fish. Frontiers in Integrative Neuroscience. 13. 36–36. 7 indexed citations
6.
Clarke, Stephen E., André Longtin, & Leonard Maler. (2015). The neural dynamics of sensory focus. Nature Communications. 6(1). 8764–8764. 19 indexed citations
7.
Seely, Andrew, Andrea Bravi, Christophe L. Herry, et al.. (2014). Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients?. Critical Care. 18(2). R65–R65. 61 indexed citations
8.
Marsat, Gary, et al.. (2011). Frequency-Tuned Cerebellar Channels and Burst-Induced LTD Lead to the Cancellation of Redundant Sensory Inputs. Journal of Neuroscience. 31(30). 11028–11038. 44 indexed citations
9.
Middleton, Jason W., Na Yu, André Longtin, & Leonard Maler. (2011). Routing the Flow of Sensory Signals Using Plastic Responses to Bursts and Isolated Spikes: Experiment and Theory. Journal of Neuroscience. 31(7). 2461–2473. 14 indexed citations
10.
Lindner, Benjamin, Dorian A. Gangloff, André Longtin, & John E. Lewis. (2009). Broadband Coding with Dynamic Synapses. Journal of Neuroscience. 29(7). 2076–2087. 51 indexed citations
11.
Lefebvre, Jérémie, André Longtin, & Victor G. LeBlanc. (2009). Oscillatory response in a sensory network of ON and OFF cells with instantaneous and delayed recurrent connections. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1911). 455–467. 4 indexed citations
12.
Hutt, Axel, André Longtin, & Lutz Schimansky-Geier. (2007). Additive Global Noise Delays Turing Bifurcations. Physical Review Letters. 98(23). 230601–230601. 37 indexed citations
13.
Chacron, Maurice J., Benjamin Lindner, & André Longtin. (2007). Threshold fatigue and information transfer. Journal of Computational Neuroscience. 23(3). 301–311. 53 indexed citations
14.
Laing, Carlo R. & André Longtin. (2003). Periodic forcing of a model sensory neuron. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(5). 51928–51928. 25 indexed citations
15.
Middleton, Jason W., Maurice J. Chacron, Benjamin Lindner, & André Longtin. (2003). Firing statistics of a neuron model driven by long-range correlated noise. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 21920–21920. 82 indexed citations
16.
Benda, Jan, et al.. (2002). Effect of Noise on the Coding Properties of Two Fundamental Types of Neurons. SSRN Electronic Journal. 1 indexed citations
17.
Engbert, Ralf, André Longtin, & Reinhold Kliegl. (2002). A dynamical model of saccade generation in reading based on spatially distributed lexical processing. Vision Research. 42(5). 621–636. 275 indexed citations
18.
Longtin, André. (1998). Firing Dynamics of Electroreceptors.. International Conference on Neural Information Processing. 27–30. 2 indexed citations
19.
Douglass, John K., Frank Moss, & André Longtin. (1992). Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons. Neural Information Processing Systems. 5. 993–1000. 2 indexed citations
20.
Theiler, James, B. Galdrikian, André Longtin, Stephen Eubank, & J. Doyne Farmer. (1991). Using Surrogate Data to Detect Nonlinearity in Time Series. Physica A Statistical Mechanics and its Applications. 58. 77–94. 121 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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